Amy Diehl

517 total citations
11 papers, 242 citations indexed

About

Amy Diehl is a scholar working on Gender Studies, Organizational Behavior and Human Resource Management and Sociology and Political Science. According to data from OpenAlex, Amy Diehl has authored 11 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Gender Studies, 5 papers in Organizational Behavior and Human Resource Management and 4 papers in Sociology and Political Science. Recurrent topics in Amy Diehl's work include Gender Diversity and Inequality (9 papers), Job Satisfaction and Organizational Behavior (5 papers) and Work-Family Balance Challenges (4 papers). Amy Diehl is often cited by papers focused on Gender Diversity and Inequality (9 papers), Job Satisfaction and Organizational Behavior (5 papers) and Work-Family Balance Challenges (4 papers). Amy Diehl collaborates with scholars based in United States. Amy Diehl's co-authors include Leanne M. Dzubinski, Amber L. Stephenson, David Wang, Jeffrey T. Grabill and William Hart-Davidson and has published in prestigious journals such as Personnel Review, Human Resource Development Quarterly and Gender in Management An International Journal.

In The Last Decade

Amy Diehl

10 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amy Diehl United States	7	164	90	44	38	34	11	242
Leanne M. Dzubinski United States	8	146 0.9×	83 0.9×	46 1.0×	29 0.8×	47 1.4×	17	235
Ulrika Haake Sweden	10	132 0.8×	66 0.7×	38 0.9×	30 0.8×	40 1.2×	23	243
Liisa Husu Sweden	9	212 1.3×	89 1.0×	38 0.9×	35 0.9×	40 1.2×	37	313
Rebecca Ponce de Leon United States	7	137 0.8×	156 1.7×	37 0.8×	34 0.9×	17 0.5×	15	251
Gyða Margrét Pétursdóttir Iceland	9	207 1.3×	120 1.3×	32 0.7×	37 1.0×	41 1.2×	29	323
Finnborg S. Steinþórsdóttir Iceland	7	204 1.2×	112 1.2×	44 1.0×	50 1.3×	45 1.3×	13	318
Chris Bourg United States	6	79 0.5×	97 1.1×	26 0.6×	25 0.7×	31 0.9×	13	262
Peter D. Bachiochi United States	8	143 0.9×	117 1.3×	189 4.3×	34 0.9×	36 1.1×	10	311
Theresa O’Keefe Ireland	8	113 0.7×	150 1.7×	20 0.5×	19 0.5×	64 1.9×	15	276
Petra Angervall Sweden	8	94 0.6×	60 0.7×	31 0.7×	27 0.7×	100 2.9×	23	255

Countries citing papers authored by Amy Diehl

Since Specialization

Citations

This map shows the geographic impact of Amy Diehl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amy Diehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Diehl more than expected).

Fields of papers citing papers by Amy Diehl

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy Diehl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amy Diehl. The network helps show where Amy Diehl may publish in the future.

Co-authorship network of co-authors of Amy Diehl

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Diehl. A scholar is included among the top collaborators of Amy Diehl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amy Diehl. Amy Diehl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Diehl, Amy, Leanne M. Dzubinski, & Amber L. Stephenson. (2024). Never quite right: Identity factors contributing to bias and discrimination experienced by women leaders in the United States. Human Resource Development Quarterly. 36(4). 367–386.

2.

Diehl, Amy & Leanne M. Dzubinski. (2023). Glass Walls. Rowman & Littlefield Publishers eBooks. 6 indexed citations

3.

Stephenson, Amber L., Leanne M. Dzubinski, & Amy Diehl. (2022). A cross-industry comparison of how women leaders experience gender bias. Personnel Review. 52(1). 145–165. 12 indexed citations

4.

Diehl, Amy, Amber L. Stephenson, Leanne M. Dzubinski, & David Wang. (2020). Measuring the invisible: Development and multi‐industry validation of the Gender Bias Scale for Women Leaders. Human Resource Development Quarterly. 31(3). 249–280. 37 indexed citations

5.

Stephenson, Amber L., Amy Diehl, & Leanne M. Dzubinski. (2020). A Cross-Industry Comparison of How Women Leaders Experience Gender Bias. Academy of Management Proceedings. 2020(1). 11938–11938. 1 indexed citations

6.

Dzubinski, Leanne M., et al.. (2019). Women’s ways of leading: the environmental effect. Gender in Management An International Journal. 34(3). 233–250. 17 indexed citations

7.

Dzubinski, Leanne M. & Amy Diehl. (2018). The Problem of Gender Essentialism and its Implications for Women in Leadership. Journal of Leadership Studies. 12(1). 56–61. 6 indexed citations

8.

Diehl, Amy. (2017). Making Meaning of Barriers and Adversity: Experiences of Women Leaders in Higher Education. 34. 54–63. 24 indexed citations

9.

Diehl, Amy & Leanne M. Dzubinski. (2016). Making the Invisible Visible: A Cross‐Sector Analysis of Gender‐Based Leadership Barriers. Human Resource Development Quarterly. 27(2). 181–206. 105 indexed citations

10.

Diehl, Amy. (2014). Making Meaning of Barriers and Adversity: Experiences of Women Leaders in Higher Education. 34. 54–63. 12 indexed citations

11.

Diehl, Amy, et al.. (2008). Grassroots: Supporting the Knowledge Work of Everyday Life. Technical Communication Quarterly. 17(4). 413–434. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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